Sylvain Jeaugey
60240fec77
Add scalable init API
* Add new ncclCommInitRankScalable to allow for passing multiple
unique IDs to the init function.
* Spreads the load onto multiple bootstrap roots, allowing for
constant bootstrap time.
* Requires multiple ranks to create a unique ID, and the CPU-side
ID exchange code to call allgather[v] instead of broadcast.
Accelerate init bootstrap operations
* Reduce the number of calls to allgather.
* Allow roots to reply early to ranks when information is already
available.
* Add an option to use ncclNet instead of sockets to perform
bootstrap allgather operations.
Add PAT algorithms for Allgather and ReduceScatter
* Parallel Aggregated Trees, variation of Bruck algorithm.
* Logarithmic number of network steps for small sizes at scale.
* Only supports one rank per node at the moment.
Add support for registered buffers for intra-node communication.
* Allow registered user buffers to be accessed directly intra-node
* Avoids extra copies in algorithms which permit it, saving
memory bandwidth and helping with compute overlap.
Add profiler plugin API
* New plugin API for profiling
* Supports various levels of profiling, with a hierarchy.
Asynchronous graph allocation
* Make calls to cudaMalloc and cudaMemcpy during graph allocation
asynchronous.
* Significantly speeds up graph capture.
Use fatal IB asynchronous events to stop network operation
* Avoids many other error messages
* Only fatal errors are affected; potentially transient errors
(e.g. port down) do not cause an immediate stop.
Set P2P level to PXB on AMD CPUs when using more than 2 GPUs per node
* P2P would cause a significant performance degradation when using
many GPUs, and therefore many interleaved data flows.
* Disable P2P through the CPU when we have 3+ GPUs per node; keep it
enabled when we only have 2 GPUs.
Improve the init logs to report the real NCCL function.
* Make the log report ncclCommInitRank or ncclCommSplit, rather than
the generic ncclCommInitRankFunc.
Add a parameter to set the location of the user configuration file.
* Add NCCL_CONF_FILE environment variable to set where the user's
configuration file resides.
Increase default IB timeout
* Increase IB timeout value from 18 to 20.
* Should help avoid fatal errors on large RoCE systems.
Add new check for nvidia peermem
* On linux kernels 6.6+, /sys/kernel/mm/memory_peers is no longer
present; check for /sys/module/nvidia_peermem/version instead.
Fix old performance regression when mixing small and large operations.
* Improves distribution of work on channels.
Fix crash when NUMA IDs are equal to -1.
* Can happen when a NIC is a virtual NIC, or when linux doesn't
know which NUMA node a device is attached to
* Issue NVIDIA/nccl-tests#233
Fix tree graph search when NCCL_CROSS_NIC is set to 1.
* Would force NCCL to use the balanced_tree pattern, thereby
disabling LL128 on platforms with 1 GPU+1 NIC per PCI switch.
* Would also try to use alternate rings even though it was not
needed.
Compiler tweaks and fixes
* PR #1177
* PR #1228
Fix stack smash
* PR #1325
Fixes for multi-node NVLink + IB operation
Coverity fixes and comments.
[ROCm/rccl commit: 68b542363f]
70 wiersze
2.3 KiB
C
70 wiersze
2.3 KiB
C
/*************************************************************************
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* Copyright (c) 2015-2020, NVIDIA CORPORATION. All rights reserved.
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*
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* See LICENSE.txt for license information
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************************************************************************/
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#include <stdlib.h>
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#ifndef NCCL_P2P_H_
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#define NCCL_P2P_H_
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#include <cuda.h>
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#include <cuda_runtime.h>
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#include "core.h"
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#if CUDART_VERSION < 12030
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// MNNVL: FABRIC handle support lifted from CUDA 12.3
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#define CU_DEVICE_ATTRIBUTE_HANDLE_TYPE_FABRIC_SUPPORTED ((CUdevice_attribute)128)
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#define CU_MEM_HANDLE_TYPE_FABRIC ((CUmemAllocationHandleType)0x8ULL)
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#define CU_IPC_HANDLE_SIZE 64
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typedef struct CUmemFabricHandle_st {
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unsigned char data[CU_IPC_HANDLE_SIZE];
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} CUmemFabricHandle_v1;
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typedef CUmemFabricHandle_v1 CUmemFabricHandle;
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#endif
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typedef union {
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uint64_t data; // Needs to hold a CUmemGenericAllocationHandle for UDS fd support
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CUmemFabricHandle handle;
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} ncclCuDesc;
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typedef union {
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// Legacy CUDA IPC
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cudaIpcMemHandle_t devIpc;
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// cuMem API support
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struct {
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ncclCuDesc cuDesc;
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CUmemGenericAllocationHandle memHandle;
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};
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} ncclIpcDesc;
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enum ncclIpcRegType {
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NCCL_IPC_SENDRECV = 0,
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NCCL_IPC_COLLECTIVE = 1
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};
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struct ncclIpcImpInfo {
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void* rmtRegAddr;
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bool legacyIpcCap;
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uintptr_t offset;
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};
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struct ncclIpcRegInfo {
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int peerRank;
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void* baseAddr;
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struct ncclProxyConnector* ipcProxyconn;
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struct ncclIpcImpInfo impInfo;
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};
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ncclResult_t ncclP2pAllocateShareableBuffer(size_t size, int directMap, ncclIpcDesc *ipcDesc, void **ptr);
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ncclResult_t ncclP2pFreeShareableBuffer(ncclIpcDesc *ipcDesc);
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ncclResult_t ncclP2pImportShareableBuffer(struct ncclComm *comm, int peer, size_t size, ncclIpcDesc *ipcDesc, void **devMemPtr);
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ncclResult_t ncclIpcLocalRegisterBuffer(ncclComm* comm, const void* userbuff, size_t buffSize, int* peerRanks, int nPeers, ncclIpcRegType type, int* regBufFlag, uintptr_t* offsetOut, uintptr_t** peerRmtAddrsOut);
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ncclResult_t ncclIpcGraphRegisterBuffer(ncclComm* comm, const void* userbuff, size_t buffSize, int* peerRanks, int nPeers, ncclIpcRegType type, int* regBufFlag, uintptr_t* offsetOut, uintptr_t** peerRmtAddrsOut, void* cleanupQueuePtr, int* nCleanupQueueElts);
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ncclResult_t ncclIpcDeregBuffer(struct ncclComm* comm, struct ncclIpcRegInfo* regInfo);
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#endif
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